Sure! Here’s the translation into American English:
At the AWS re:Invent 2024 event, Amazon introduced an innovative feature of Amazon Bedrock Knowledge Bases, designed to transform how businesses interact with their data. This Retrieval-Augmented Generation (RAG) system connects large-scale language models with internal data sources, resulting in more accurate and contextualized responses derived from private information.
One of the standout features is the ability to perform natural language queries to extract structured data from Amazon Redshift and Amazon SageMaker Lakehouse. This innovation simplifies the development of generative artificial intelligence applications, allowing access to information from both structured and unstructured sources without requiring deep knowledge of database management or SQL. Thanks to natural language processing, Amazon Bedrock Knowledge Bases translates common questions into SQL queries, making data access much more intuitive.
For organizations using Amazon Aurora, the zero-ETL integration between Aurora PostgreSQL-Compatible and Amazon Redshift means they can access real-time data without the need to implement complex extraction, transformation, and loading pipelines. This streamlines workflows and enables the development of powerful applications, such as AI assistants, that operate with real-time data.
The process to set up this system involves several steps, from storing data in Aurora PostgreSQL, integrating with Redshift, to creating the knowledge base in Amazon Bedrock. It is crucial to have the appropriate permissions to complete the integration, which includes assigning the necessary access rights for the tables in Redshift.
Once the system is up and running, companies can start performing natural language queries, turning direct questions into data-backed answers. This not only enhances operational efficiency but also speeds up decision-making, allowing decision-makers to access valuable information in no time.
In summary, Amazon Bedrock Knowledge Bases marks a significant advancement in how humans can interact with data, addressing the current demands of businesses looking to maximize the use of artificial intelligence. This new tool promises to facilitate the exploration and querying of information in a more direct and intuitive way than ever before.
Referrer: MiMub in Spanish
